Downstream Data Scientist - Houston, United States - Core Group Resources

Description

Downstream Data Scientist Job Summary

Data scientist is to analyze and structure large amounts of raw live and historical data, build algorithms and solutions around the data to drive decision making within the company.

This role will be at the core of the forecasting and predictive digital strategy of the company, to support the development of state-of-the-art solution for the Downstream Digital Center.

In this role, the data scientist should be highly analytical, with strong skills in analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. The position requires in-depth knowledge of research, machine – learning, artificial intelligence and complex algorithmic development.

Data Scientist Responsibilities

Formulates and leads guided, multifaceted analytic studies against large volumes of data.
Interprets and analyzes data using exploratory mathematic and statistical techniques based on the scientific method.

Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.

Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.
Leads all data experiments tasked by the Data Science Team.

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts.

Develops methodology and processes for prioritization and scheduling of projects.
Analyzes problems and determines root causes.
Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.
Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.

Data Scientist Position Requirements

Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields
5-7 years of professional experience
Proficient with one or more programming languages (Java, C++, Python, R, etc.)
Demonstrated experience applying data science methods to real-world data problems
Experience utilizing visualization tools to take advantage of the growing volume of available information

Data Scientist Preferred Position Requirements

Advanced analytical knowledge of data
Conducting big data analysis
Data conditioning
Programming advanced computing
Developing algorithms
Developing software and data models
Executing predictive analytics

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